کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10368839 | 875137 | 2005 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Wavelet-based methods for the prognosis of mechanical and electrical failures in electric motors
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Wavelet-based methods for the prognosis of mechanical and electrical failures in electric motors Wavelet-based methods for the prognosis of mechanical and electrical failures in electric motors](/preview/png/10368839.png)
چکیده انگلیسی
The ability to give a prognosis for failure of a system is a valuable tool and can be applied to electric motors. In this paper, three wavelet-based methods have been developed that achieve this goal. Wavelet and filter bank theory, the nearest-neighbour rule, and linear discriminant functions are reviewed. A framework for the development of a fault detection and classification algorithm based on the coefficients calculated from the discrete wavelet transform and using clustering is described. An experimental set-up based on RT-Linux is described and results from testing are presented, verifying the analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 19, Issue 2, March 2005, Pages 411-426
Journal: Mechanical Systems and Signal Processing - Volume 19, Issue 2, March 2005, Pages 411-426
نویسندگان
Wesley G. Zanardelli, Elias G. Strangas, Hassan K. Khalil, John M. Miller,